---
title: "Chicago Crime Dashboard"
author: "Zack Larsen"
date: "May 18, 2019"
output: 
  flexdashboard::flex_dashboard:
    social: [ "twitter", "facebook", "menu" ]
    navbar:
      - { title: "About Me", href: "https://zacklarsen.github.io/" }
      - { icon: "fa-github", href: "https://github.com/ZackLarsen", align: right}
      - { icon: "fa-linkedin", href: "https://www.linkedin.com/in/larsenzachary/", align: right}
    source: embed
---

```{r setup, include=FALSE}
library(pacman)
library(tidyverse)
library(shiny)

p_load(flexdashboard, leaflet, leaflet.extras, ggvis, here, conflicted, data.table, jsonlite, kableExtra, glue, geosphere, DT, networkD3, htmltools, geojsonio, magrittr, treemap, highcharter, viridisLite, ggmap)

conflict_prefer("filter", "dplyr")

here::here() # "/Users/zacklarsen/Zack_Master/Projects/Dataviz/R/Divvy_Flex"

stations <- fromJSON("https://feeds.divvybikes.com/stations/stations.json")

crimes <- fread(here("data","Crimes_sample.csv")) %>% 
  na.omit()

ward_boundaries <- geojsonio::geojson_read(here("data","Boundaries_Wards.geojson"), what = "sp")

```


Landing Page - Crime Map
=========================================

Column 
-------------------------------------

### Crimes, plotted using leaflet. This map can be zoomed in on interactively and the station names will be displayed upon clicking the icon.

```{r, cache=TRUE}

crimes_popup <- crimes %>% 
  mutate(
    popup_text = paste(
      sep = "
",
      glue("{`Primary Type`}"),
      Description,
      Date,
      paste(Latitude, Longitude, sep=', ')
    )
  ) %>% 
  na.omit()

my_map <- leaflet(crimes_popup) %>%
  addTiles() %>%
  addMarkers(lat = crimes_popup$Latitude,
             lng = crimes_popup$Longitude,
             label = lapply(crimes_popup$popup_text, HTML)
             )
my_map

```

***

https://rstudio.github.io/leaflet/

- Interactive panning/zooming

- Notice the icons, when clicked, display the crime description and time when it was committed/reported


Column {.tabset}
-------------------------------------
 
### Data

```{r, cache=TRUE}

crimes %>% 
  select(`Case Number`, Date, `Primary Type`, Description) %>% 
  head(n=20) %>% 
  kable() %>% 
  kable_styling()

```   


### Crimes Involving Use of Firearm
    
```{r, cache=TRUE, eval=TRUE}

crimes %>% 
  filter(grepl("GUN",Description)) %>% 
  select(`Case Number`, Date, `Primary Type`, Description) %>% 
  arrange(Date) %>% 
  head(n=20) %>% 
  kable() %>% 
  kable_styling()

```


### Arrests Made
    
```{r, cache=TRUE, eval=TRUE}

crimes %>% 
  filter(Arrest == TRUE) %>% 
  select(`Case Number`, Date, Arrest, `Primary Type`, Description) %>% 
  arrange(Date) %>% 
  head(n=20) %>% 
  kable() %>% 
  kable_styling()

```


Crime Features {.storyboard}
=========================================


### Treemap

```{r, cache=TRUE, eval=TRUE}

thm <- 
  hc_theme(
    colors = c("#1a6ecc", "#434348", "#90ed7d"),
    chart = list(
      backgroundColor = "transparent",
      style = list(fontFamily = "Source Sans Pro")
    ),
    xAxis = list(
      gridLineWidth = 1
    )
  )

treemap_data <- crimes %>% 
  select(`Case Number`, `Primary Type`, Description) %>% 
  group_by(`Primary Type`, Description) %>% 
  summarise(Count = n_distinct(`Case Number`))

tm <- treemap(treemap_data, index = c("Primary Type", "Description"),
              vSize = "Count", vColor = "Count",
              type = "value", palette = rev(viridis(6)))

highchart() %>% 
  hc_add_series_treemap(tm, allowDrillToNode = TRUE,
                        layoutAlgorithm = "squarified") %>% 
  hc_add_theme(thm)

```


### Heatmap

```{r, cache=TRUE, eval=TRUE}

leaflet(crimes) %>%
  addTiles() %>% 
  addHeatmap(lng=~Longitude,
             lat=~Latitude,
             radius = 8)

```


### Circle Layers

```{r, cache=TRUE, eval=TRUE}

BATTERY <- crimes[crimes$`Primary Type` == 'BATTERY',]
ROBBERY <- crimes[crimes$`Primary Type` == 'ROBBERY',]
HOMICIDE <- crimes[crimes$`Primary Type` == 'HOMICIDE',]
ASSAULT <- crimes[crimes$`Primary Type` == 'ASSAULT',]
PROSTITUTION <- crimes[crimes$`Primary Type` == 'PROSTITUTION',]
GTA <- crimes[crimes$`Primary Type` == 'MOTOR VEHICLE THEFT',]

leaflet(crimes) %>%
  # Base groups
  addTiles(group = "Default") %>%
  # Overlay groups
  addCircles(~BATTERY$Longitude, ~BATTERY$Latitude, group = "BATTERY") %>%
  addCircles(~ROBBERY$Longitude, ~ROBBERY$Latitude, group = "ROBBERY") %>%
  addCircles(~HOMICIDE$Longitude, ~HOMICIDE$Latitude, group = "HOMICIDE") %>%
  addCircles(~ASSAULT$Longitude, ~ASSAULT$Latitude, group = "ASSAULT") %>%
  addCircles(~PROSTITUTION$Longitude, ~PROSTITUTION$Latitude, group = "PROSTITUTION") %>%
  addCircles(~GTA$Longitude, ~GTA$Latitude, group = "GTA") %>%
  # Layers control
  addLayersControl(
    overlayGroups = c("BATTERY","ROBBERY","HOMICIDE","ASSAULT","PROSTITUTION","GTA"),
    options = layersControlOptions(collapsed = FALSE)
  )

```



Ward Features {.storyboard}
=========================================


### Crime Totals By Ward

```{r, cache=TRUE, eval=TRUE}

ward_totals <- crimes %>% 
  select(Ward, `Primary Type`) %>% 
  group_by(Ward) %>% 
  summarise(n()) %<>% 
  mutate(count = `n()`)

ward_totals <- setNames(ward_totals$count, as.character(ward_totals$Ward))

ward_boundaries$crime_total <- ward_totals

labels <- sprintf(
  "Ward #%s
 %g crimes committed in this ward",
  ward_boundaries$ward, ward_boundaries$crime_total
) %>% lapply(htmltools::HTML)


qpal <- colorQuantile("Reds", ward_boundaries$crime_total, n = 10)

leaflet(ward_boundaries) %>%
  addTiles() %>%
  addPolygons(fillColor = ~qpal(crime_total),
              weight = 2,
              opacity = 1,
              color = "white",
              dashArray = "3",
              fillOpacity = 0.9,
              highlight = highlightOptions(
                weight = 3, # This is the width of the dashed line
                color = "#666",
                dashArray = "",
                fillOpacity = 0.7,
                bringToFront = TRUE),
              label = ~labels,
              labelOptions = labelOptions(
                style = list("font-weight" = "normal", padding = "3px 8px"),
                textsize = "15px",
                direction = "auto")) %>% 
  addLegend(pal = qpal, 
            values = ~crime_total,
            opacity = 0.7, 
            title = "Crime Count Quantile",
            position = "topright")

```


### Layer Selection By Crime Type

```{r, cache=TRUE, eval=FALSE}

ward_totals_by_type <- crimes %>% 
  select(Ward, `Primary Type`) %>% 
  group_by(Ward, `Primary Type`) %>% 
  summarise(n()) %<>% 
  rename(count = `n()`) %>% 
  tidyr::spread(key = `Primary Type`,value = count)

ward_totals_by_type[is.na(ward_totals_by_type)] <- 0

battery_totals <- setNames(ward_totals_by_type$BATTERY, as.character(ward_totals_by_type$Ward))
robbery_totals <- setNames(ward_totals_by_type$ROBBERY, as.character(ward_totals_by_type$Ward))


ward_boundaries$battery_total <- battery_totals
ward_boundaries$robbery_total <- robbery_totals

get_palette <- function(category){
  colorQuantile("Reds", ward_boundaries$category, n = 10)
}

leaflet(ward_boundaries) %>%
  addTiles() %>%
  addPolygons(fillColor = ~get_palette(battery_totals),
              weight = 2,
              opacity = 1,
              color = "white",
              dashArray = "3",
              fillOpacity = 0.9,
              group = "BATTERY",
              highlight = highlightOptions(
                weight = 5,
                color = "#666",
                dashArray = "",
                fillOpacity = 0.7,
                bringToFront = TRUE)) %>% 
  addPolygons(fillColor = ~get_palette(robbery_totals),
              weight = 2,
              opacity = 1,
              color = "white",
              dashArray = "3",
              fillOpacity = 0.9,
              group = "ROBBERY",
              highlight = highlightOptions(
                weight = 5,
                color = "#666",
                dashArray = "",
                fillOpacity = 0.7,
                bringToFront = TRUE)) %>% 

  addLayersControl(
    overlayGroups = c("BATTERY","ROBBERY"),
    options = layersControlOptions(collapsed = FALSE)
  )

```